Do you build custom models?

Rarely, and only when it is genuinely justified. Most enterprise use cases are better served by a strong general model grounded in your data than by a bespoke one you then have to maintain.

Can you build on our platform's native agent tooling?

Yes — that is usually our recommendation. We build in Coupa's Navi Agent Studio and Compose, Microsoft Copilot Studio and Foundry, SAP Joule Studio, Oracle's AI Agent Studio, Boomi Agentstudio, and Workato Agent Studio.

How do you keep an agent from doing something it shouldn't?

Constrained tool definitions, deterministic guardrails outside the model, an auditable log of every action, and a human exception path for anything the agent isn't authorized to complete.

Design & build

AI built into the systems where the work already happens

Custom architecture, model selection and fine-tuning, and generative AI integrated into the enterprise systems you already run — ERP, CRM, procurement, and the workflows between them. Built by the team that has been integrating those systems since 2011.

Scope an AI build

Solution design & implementation

An agent is only as good as the actions you let it take

The interesting engineering is not the prompt. It is the tool definitions, the data contracts, the retry behaviour, and the exception path back to a human — the same discipline that makes an integration reliable.

Architecture

Design for the estate you actually have

Solution architecture that accounts for where your data lives, which platform's agent runtime you are standardizing on, and what has to stay behind your firewall. Native platform capability first; custom only where it genuinely doesn't reach.

Reference architecture and data contracts
Native-first platform selection
On-prem and in-region deployment options

Two colleagues mapping ideas onto a board

Models

Model selection and fine-tuning on your own data

Choosing the model that fits the task and the budget, then grounding or fine-tuning it on your data — with an evaluation set that proves it works before it touches a live process.

Model selection against real evaluation sets
Retrieval grounding and fine-tuning
Cost and latency budgets set up front

A program running on a monitor in a working office

Integration

Wired into ERP, CRM, and the workflows between them

The part most AI vendors leave to you. We connect the solution to Dynamics 365, NetSuite, SAP, Coupa, Salesforce, and ServiceNow using the same connectors and iPaaS platforms we deploy for integration work.